Senior Scientist or Postdoctoral Researcher-Furman Lab

Computational Biology & Aging / Bioinformatics Core Co-DirectorLocation: Novato, CAPosition Type: Full-time, onsite requiredSalary Range: $125,000–$140,000, depending on experienceAbout The OpportunityThe Furman Lab at the Buck Institute for Research on Aging invites applications for a Senior Scientist or Postdoctoral Researcher to join a newly initiated, five-year government-funded research program focused on understanding the mechanisms of aging and developing interventions to extend healthspan. This is an exceptional opportunity to contribute to large-scale, multi-institutional science at one of the world’s foremost dedicated aging research institutes.In addition to their research role within the project, the successful candidate will serve as Co-Director of the Buck Institute’s Bioinformatics and Data Science Core, playing a central role in expanding the Core’s capacity, service offerings, and scientific impact across the Institute.Primary ResponsibilitiesDevelop and apply computational pipelines for the analysis of large-scale multi-omics datasets, including genomic, transcriptomic, epigenomic, and proteomic data, in the context of aging researchBuild and refine integrative models of biological aging using longitudinal cohort and experimental data generated within the project consortium, including AI/ML-based approachesCollaborate closely with experimental and clinical investigators to translate biological questions into rigorous analytical frameworksContribute to the design of computational strategies for cross-platform data harmonization, quality control, and reproducible analysisServe as Co-Director of the Bioinformatics and Data Science Core, providing analytical consultation and support to Buck Institute investigatorsHelp define Core priorities and participate in efforts to grow the Core’s scientific and operational capacityMentor junior trainees and research staff in computational methods and best practicesContribute to manuscripts, grant reports, and presentations disseminating project findings to the broader scientific communityQualificationsSenior Scientist LevelCandidates for the Senior Scientist level should have:Ph.D. in bioinformatics, computational biology, biostatistics, systems biology, or a related discipline, with substantial postdoctoral or equivalent experienceDemonstrated record of independent research, as evidenced by peer-reviewed publications in high-quality journalsProven expertise in the analysis of next-generation sequencing data, such as RNA-seq, ATAC-seq, single-cell omics, whole-genome sequencing, or whole-exome sequencingExperience leading or co-leading collaborative research projects and mentoring traineesPostdoctoral Researcher LevelCandidates for the Postdoctoral Researcher level should have:Ph.D. in bioinformatics, computational biology, biostatistics, or a closely related field, awarded within the past five years or expected imminentlyStrong analytical foundation with demonstrated proficiency in multi-omics data analysis, including published or preprint researchEnthusiasm for developing an independent research program within a collaborative and highly supportive environmentRequired Technical SkillsProficiency in one or more scientific programming languages, such as Python or RFluency with standard bioinformatics toolkits, such as Bioconductor, Seurat, Scanpy, GATK, STAR, or DESeq2Experience training, validating, diagnosing, and fine-tuning machine learning models, preferably multimodal modelsFamiliarity with statistical methods for multi-omics data integration, dimensionality reduction, and biological network analysisCommitment to rigorous, reproducible, versioned, and well-documented computational research practicesPreferred QualificationsPrior research experience in aging biology, geroscience, or the analysis of aging-related cohorts or model organism datasetsExperience with epigenomic clock methodologies, biological age estimation, or related computational frameworksExperience integrating heterogeneous data, electronic health records, or large clinical datasetsFamiliarity with multi-step agentic workflows, retrieval-augmented generation, and vector search methodsExperience with high-performance computing environments and workflow management systemsFamiliarity with cloud computing platforms, such as AWS, Google Cloud, or equivalent, for large-scale data analysisExperience contributing to or directing a bioinformatics core or shared resource facilityAbout the Buck InstituteThe Buck Institute for Research on Aging is a world leader in aging research, with a mission to end the threat of age-related disease. The Institute brings together scientists from diverse disciplines to understand the biology of aging and translate discoveries into interventions that promote longer, healthier lives.The Buck Institute is an equal opportunity employer and welcomes applications from candidates of all backgrounds. We are committed to creating an inclusive environment for all employees.To ApplyInterested candidates should submit a curriculum vitae and cover letter briefly describing their research experience, computational expertise, interest in aging biology and the Bioinformatics and Data Science Core Co-Director role.